Evidence map›Paper›PMID 27729950›Full record

ReviewCanadian geriatrics journal : CGJ2016

Prevention of Post-operative Delirium in the Elderly Using Pharmacological Agents.

Patrice Tremblay, Susan Gold

Abstract readReview
In one paragraph

Review in Canadian geriatrics journal : CGJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. [Present research situation and prospect for delirium recognition based on electronic medical record].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020
    Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Patrice TremblayDepartment of Family Medicine, St. Mary's Hospital Center, McGill University, Montreal, PQ.
Susan GoldDepartment of Geriatric Medicine, Jewish General Hospital, McGill University, Montreal, PQ.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPost-operative delirium (POD) is a serious surgical complication that can cause significant morbidity and mortality. It is associated with prolonged hospital stay, delayed admission to rehabilitation programs, persistent cognitive deficits, marked health-care costs, and more. The pathophysiology is multi-factorial and not completely understood, which complicates the optimal management. Non-pharmacological measures have been the mainstay of treatment, but there has been an ongoing interest in the medical literature on the prevention of post-operative delirium using medications. The purpose of this review is to critically analyze the current evidence on pharmacological prevention of POD.

methodsA literature review was conducted using PubMed and Embase databases, using the following search terms: delirium, anti-psychotics, cholinesterase inhibitors, and statins.

resultsA total of 1,152 articles were screened and 25 articles were reviewed. Fourteen articles found a reduced incidence of post-operative delirium using pharmacological agents: eight with antipsychotics, two with statins, one with melatonin, one with dexamethasone, one with gabapentin, and one with diazepam. However, study designs, methodological issues, or authors' interpretations raise questions on these conclusions.

conclusionsFurther double-blinded randomized clinical trials should be conducted before administering pharmacological agents to reduce POD in a non-research setting.

Indexed as

deliriumpharmacological agentspost-operativeprevention

Identifiers

PMID27729950
PMCPMC5038927

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.